Coal dressing system and method based on artificial intelligence image recognition

Abstract

The invention discloses a coal dressing system and method based on artificial intelligence image recognition. A conveying belt is arranged, coal materials move along with the conveying belt in a single-row mode, in the moving process, coal ash on the coal materials is washed by a spray gun, part of the solid surface is exposed, a camera device shoots and sends shot images to a control module in real time, gangue and coal briquettes are recognized in real time through an artificial intelligence image recognition technology, then a flow guide sorting mechanism on the downstream of the conveyingbelt is controlled to act, and the gangue and the coal briquettes are separated. The coal ash on the coal materials is washed by arranging the spray gun, so that the visual discrimination degree of the coal and the gangue is increased; then the gangue and the coal briquettes are recognized by applying the artificial intelligence visual image recognition technology of deep learning, so that the accuracy of machine vision recognition can be greatly improved, the sorting precision is high, the equipment cost is low, the processing particle size is wide, the processing capacity is high, most of manual work can be replaced, the labor cost is saved, the coal mine pollution and water consumption are reduced, and the coal loss is reduced; and the system and method are beneficial to being deployedunderground, the gangue well outlet amount is effectively reduced, and environmental protection is facilitated.

Description

technical field [0001] The invention belongs to the technical field of coal mining, and in particular relates to a coal preparation system and method based on artificial intelligence image recognition. Background technique [0002] For a long time, the mining volume of China's coal resources has remained high, reaching several billion tons every year, and there are more than 5,000 large and small coal mines across the country. In recent years, the degree of automation of coal mining mechanization has been continuously improved, but the sorting of coal gangue has always been a difficult problem. The existence of gangue, on the one hand, increases the ash content in the coal material and reduces the quality of the raw coal. On the other hand, it will cause excessive wear and tear on the operation of the equipment in all subsequent production and transportation links, and even cause hazards such as chain stoppage. Therefore, after the raw coal is lifted into the well, the firs...

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Problems solved by technology

[0006] In view of the above-mentioned defects of the prior art, the purpose of the present invention is to provide a coal preparation system and method based on artificial intelligence image recognition, to solve the technical defects of the prior art coal preparation process, requiring labor, and wasting resources and energy , and is simpler in structure than other intelligent coal preparation equipment, easy to maintain, and easy to deploy underground

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